Struct aws_sdk_cleanroomsml::operation::create_training_dataset::builders::CreateTrainingDatasetFluentBuilder
source · pub struct CreateTrainingDatasetFluentBuilder { /* private fields */ }
Expand description
Fluent builder constructing a request to CreateTrainingDataset
.
Defines the information necessary to create a training dataset. In Clean Rooms ML, the TrainingDataset
is metadata that points to a Glue table, which is read only during AudienceModel
creation.
Implementations§
source§impl CreateTrainingDatasetFluentBuilder
impl CreateTrainingDatasetFluentBuilder
sourcepub fn as_input(&self) -> &CreateTrainingDatasetInputBuilder
pub fn as_input(&self) -> &CreateTrainingDatasetInputBuilder
Access the CreateTrainingDataset as a reference.
sourcepub async fn send(
self
) -> Result<CreateTrainingDatasetOutput, SdkError<CreateTrainingDatasetError, HttpResponse>>
pub async fn send( self ) -> Result<CreateTrainingDatasetOutput, SdkError<CreateTrainingDatasetError, HttpResponse>>
Sends the request and returns the response.
If an error occurs, an SdkError
will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
sourcepub fn customize(
self
) -> CustomizableOperation<CreateTrainingDatasetOutput, CreateTrainingDatasetError, Self>
pub fn customize( self ) -> CustomizableOperation<CreateTrainingDatasetOutput, CreateTrainingDatasetError, Self>
Consumes this builder, creating a customizable operation that can be modified before being sent.
sourcepub fn name(self, input: impl Into<String>) -> Self
pub fn name(self, input: impl Into<String>) -> Self
The name of the training dataset. This name must be unique in your account and region.
sourcepub fn set_name(self, input: Option<String>) -> Self
pub fn set_name(self, input: Option<String>) -> Self
The name of the training dataset. This name must be unique in your account and region.
sourcepub fn get_name(&self) -> &Option<String>
pub fn get_name(&self) -> &Option<String>
The name of the training dataset. This name must be unique in your account and region.
sourcepub fn role_arn(self, input: impl Into<String>) -> Self
pub fn role_arn(self, input: impl Into<String>) -> Self
The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource
field of each dataset.
Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException
error.
sourcepub fn set_role_arn(self, input: Option<String>) -> Self
pub fn set_role_arn(self, input: Option<String>) -> Self
The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource
field of each dataset.
Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException
error.
sourcepub fn get_role_arn(&self) -> &Option<String>
pub fn get_role_arn(&self) -> &Option<String>
The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the dataSource
field of each dataset.
Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an AccessDeniedException
error.
sourcepub fn training_data(self, input: Dataset) -> Self
pub fn training_data(self, input: Dataset) -> Self
Appends an item to trainingData
.
To override the contents of this collection use set_training_data
.
An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
sourcepub fn set_training_data(self, input: Option<Vec<Dataset>>) -> Self
pub fn set_training_data(self, input: Option<Vec<Dataset>>) -> Self
An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
sourcepub fn get_training_data(&self) -> &Option<Vec<Dataset>>
pub fn get_training_data(&self) -> &Option<Vec<Dataset>>
An array of information that lists the Dataset objects, which specifies the dataset type and details on its location and schema. You must provide a role that has read access to these tables.
Adds a key-value pair to tags
.
To override the contents of this collection use set_tags
.
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
-
Maximum number of tags per resource - 50.
-
For each resource, each tag key must be unique, and each tag key can have only one value.
-
Maximum key length - 128 Unicode characters in UTF-8.
-
Maximum value length - 256 Unicode characters in UTF-8.
-
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
-
Tag keys and values are case sensitive.
-
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
sourcepub fn description(self, input: impl Into<String>) -> Self
pub fn description(self, input: impl Into<String>) -> Self
The description of the training dataset.
sourcepub fn set_description(self, input: Option<String>) -> Self
pub fn set_description(self, input: Option<String>) -> Self
The description of the training dataset.
sourcepub fn get_description(&self) -> &Option<String>
pub fn get_description(&self) -> &Option<String>
The description of the training dataset.
Trait Implementations§
source§impl Clone for CreateTrainingDatasetFluentBuilder
impl Clone for CreateTrainingDatasetFluentBuilder
source§fn clone(&self) -> CreateTrainingDatasetFluentBuilder
fn clone(&self) -> CreateTrainingDatasetFluentBuilder
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreAuto Trait Implementations§
impl Freeze for CreateTrainingDatasetFluentBuilder
impl !RefUnwindSafe for CreateTrainingDatasetFluentBuilder
impl Send for CreateTrainingDatasetFluentBuilder
impl Sync for CreateTrainingDatasetFluentBuilder
impl Unpin for CreateTrainingDatasetFluentBuilder
impl !UnwindSafe for CreateTrainingDatasetFluentBuilder
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source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> Instrument for T
impl<T> Instrument for T
source§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
source§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
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